通过 docker-compose 快速部署 DolphinScheduler 保姆级教程

190

一、概述

Apache DolphinScheduler（简称DolphinScheduler）是一种开源的、分布式的、易于使用的大数据工作流调度系统。它旨在为大数据处理提供一个可靠、高效和可扩展的调度解决方案。

通过 docker-compose 快速部署 DolphinScheduler 保姆级教程

这里只讲快速部署，想了解更多可以查阅我这篇文章：Apache DolphinScheduler（海豚调度系统）介绍与环境部署

二、前期准备

1）部署 docker

<span># 安装yum-config-manager配置工具</span>
yum -y <span>install</span> yum-utils
<span># 提议使用阿里云yum源：（推荐）</span>
<span>#yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo</span>
yum-config-manager <span>--add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo</span>
<span># 安装docker-ce版本</span>
yum <span>install</span> -y docker-ce
<span># 启动并开机启动</span>
systemctl <span>enable</span> <span>--now docker</span>
docker <span>--version</span>
<span># 安装yum-config-manager配置工具</span>
yum -y <span>install</span> yum-utils

<span># 提议使用阿里云yum源：（推荐）</span>
<span>#yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo</span>
yum-config-manager <span>--add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo</span>

<span># 安装docker-ce版本</span>
yum <span>install</span> -y docker-ce
<span># 启动并开机启动</span>
systemctl <span>enable</span> <span>--now docker</span>
docker <span>--version</span>
# 安装yum-config-manager配置工具
yum -y install yum-utils

# 提议使用阿里云yum源：（推荐）
#yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo

# 安装docker-ce版本
yum install -y docker-ce
# 启动并开机启动
systemctl enable --now docker
docker --version

2）部署 docker-compose

curl -SL https://github.com/docker/compose/releases/download/v2<span>.16</span><span>.0</span>/docker-compose-linux-x86_64 -o /usr/<span>local</span>/bin/docker-compose
chmod +x /usr/<span>local</span>/bin/docker-compose
docker-compose <span>--version</span>
curl -SL https://github.com/docker/compose/releases/download/v2<span>.16</span><span>.0</span>/docker-compose-linux-x86_64 -o /usr/<span>local</span>/bin/docker-compose

chmod +x /usr/<span>local</span>/bin/docker-compose
docker-compose <span>--version</span>
curl -SL https://github.com/docker/compose/releases/download/v2.16.0/docker-compose-linux-x86_64 -o /usr/local/bin/docker-compose

chmod +x /usr/local/bin/docker-compose
docker-compose --version

三、安装 MySQL 数据库

这里选择docker快速部署的方式：通过 docker-compose 快速部署 MySQL保姆级教程

git clone https://gitee.com/hadoop-bigdata/docker-compose-mysql.git
cd docker-compose-mysql
<span># create network</span>
docker network <span>create</span> hadoop-network
<span># 部署</span>
docker-compose -f docker-compose.yaml up -d
<span># 查看</span>
docker-compose -f docker-compose.yaml ps
<span># 登录mysql</span>
mysql -uroot -p
<span># 输入密码：123456</span>
<span># 创建数据库</span>
<span>create</span> <span>database</span> dolphinscheduler <span>character</span> <span>set</span> utf8 ;  
<span>CREATE</span> <span>USER</span> <span>'dolphinscheduler'</span>@<span>'%'</span><span>IDENTIFIED</span> <span>BY</span> <span>'dolphinscheduler@123'</span>;
<span>GRANT</span> <span>ALL</span> <span>PRIVILEGES</span> <span>ON</span> dolphinscheduler.* <span>TO</span> <span>'dolphinscheduler'</span>@<span>'%'</span>;
<span>FLUSH</span> <span>PRIVILEGES</span>;
git clone https://gitee.com/hadoop-bigdata/docker-compose-mysql.git

cd docker-compose-mysql

<span># create network</span>
docker network <span>create</span> hadoop-network

<span># 部署</span>
docker-compose -f docker-compose.yaml up -d

<span># 查看</span>
docker-compose -f docker-compose.yaml ps

<span># 登录mysql</span>
mysql -uroot -p
<span># 输入密码：123456</span>

<span># 创建数据库</span>
<span>create</span> <span>database</span> dolphinscheduler <span>character</span> <span>set</span> utf8 ;  

<span>CREATE</span> <span>USER</span> <span>'dolphinscheduler'</span>@<span>'%'</span><span>IDENTIFIED</span> <span>BY</span> <span>'dolphinscheduler@123'</span>;
<span>GRANT</span> <span>ALL</span> <span>PRIVILEGES</span> <span>ON</span> dolphinscheduler.* <span>TO</span> <span>'dolphinscheduler'</span>@<span>'%'</span>;
<span>FLUSH</span> <span>PRIVILEGES</span>;
git clone https://gitee.com/hadoop-bigdata/docker-compose-mysql.git

cd docker-compose-mysql

# create network
docker network create hadoop-network

# 部署
docker-compose -f docker-compose.yaml up -d

# 查看
docker-compose -f docker-compose.yaml ps

# 登录mysql
mysql -uroot -p
# 输入密码：123456

# 创建数据库
create database dolphinscheduler character set utf8 ;  

CREATE USER 'dolphinscheduler'@'%'IDENTIFIED BY 'dolphinscheduler@123';
GRANT ALL PRIVILEGES ON dolphinscheduler.* TO 'dolphinscheduler'@'%';
FLUSH PRIVILEGES;

四、安装注册中心 Zookeeper

这里选择docker快速部署的方式：【中间件】通过 docker-compose 快速部署 Zookeeper 保姆级教程

git <span>clone</span> https://gitee.com/hadoop-bigdata/docker-compose-zookeeper.git
<span>cd</span> docker-compose-zookeeper
<span># 部署</span>
docker-compose -f docker-compose.yaml up -d
<span># 查看</span>
docker-compose -f docker-compose.yaml ps
git <span>clone</span> https://gitee.com/hadoop-bigdata/docker-compose-zookeeper.git

<span>cd</span> docker-compose-zookeeper

<span># 部署</span>
docker-compose -f docker-compose.yaml up -d

<span># 查看</span>
docker-compose -f docker-compose.yaml ps
git clone https://gitee.com/hadoop-bigdata/docker-compose-zookeeper.git

cd docker-compose-zookeeper

# 部署
docker-compose -f docker-compose.yaml up -d

# 查看
docker-compose -f docker-compose.yaml ps

五、Apache DolphinScheduler 编排部署

1）下载 DolphinScheduler 安装包

<span>wget</span> https://dlcdn.apache.org/dolphinscheduler/3.1.7/apache-dolphinscheduler-3.1.7-bin.tar.gz --<span>no</span>-check-certificate
<span>wget</span> https://dlcdn.apache.org/dolphinscheduler/3.1.7/apache-dolphinscheduler-3.1.7-bin.tar.gz --<span>no</span>-check-certificate
wget https://dlcdn.apache.org/dolphinscheduler/3.1.7/apache-dolphinscheduler-3.1.7-bin.tar.gz --no-check-certificate

2）配置

  • dolphinscheduler/bin/env/install_env.sh
<span>#</span>
<span># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span># contributor license agreements.  See the NOTICE file distributed with</span>
<span># this work for additional information regarding copyright ownership.</span>
<span># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span># (the "License"); you may not use this file except in compliance with</span>
<span># the License.  You may obtain a copy of the License at</span>
<span>#</span>
<span>#     http://www.apache.org/licenses/LICENSE-2.0</span>
<span>#</span>
<span># Unless required by applicable law or agreed to in writing, software</span>
<span># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span># See the License for the specific language governing permissions and</span>
<span># limitations under the License.</span>
<span>#</span>
<span># ---------------------------------------------------------</span>
<span># INSTALL MACHINE</span>
<span># ---------------------------------------------------------</span>
<span># A comma separated list of machine hostname or IP would be installed DolphinScheduler,</span>
<span># including master, worker, api, alert. If you want to deploy in pseudo-distributed</span>
<span># mode, just write a pseudo-distributed hostname</span>
<span># Example for hostnames: ips="ds1,ds2,ds3,ds4,ds5", Example for IPs: ips="192.168.8.1,192.168.8.2,192.168.8.3,192.168.8.4,192.168.8.5"</span>
<span># ips=${ips:-"ds1,ds2,ds3,ds4,ds5"}</span>
<span>ips</span>=<span>"ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2,ds-dolphinscheduler-worker-1,ds-dolphinscheduler-worker-2,ds-dolphinscheduler-worker-3,ds-dolphinscheduler-api-1,ds-dolphinscheduler-alert-1"</span>
<span># Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine</span>
<span># modify it if you use different ssh port</span>
<span>sshPort</span>=<span>${sshPort:-"22"}</span>
<span># A comma separated list of machine hostname or IP would be installed Master server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostnames: masters="ds1,ds2", Example for IPs: masters="192.168.8.1,192.168.8.2"</span>
<span># masters=${masters:-"ds1,ds2"}</span>
<span>masters</span>=<span>"ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2"</span>
<span># A comma separated list of machine <hostname>:<workerGroup> or <IP>:<workerGroup>.All hostname or IP must be a</span>
<span># subset of configuration `ips`, And workerGroup have default value as `default`, but we recommend you declare behind the hosts</span>
<span># Example for hostnames: workers="ds1:default,ds2:default,ds3:default", Example for IPs: workers="192.168.8.1:default,192.168.8.2:default,192.168.8.3:default"</span>
<span># workers=${workers:-"ds1:default,ds2:default,ds3:default,ds4:default,ds5:default"}</span>
<span>workers</span>=<span>"ds-dolphinscheduler-worker-1:default,ds-dolphinscheduler-worker-2:default,ds-dolphinscheduler-worker-3:default"</span>
<span># A comma separated list of machine hostname or IP would be installed Alert server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostname: alertServer="ds3", Example for IP: alertServer="192.168.8.3"</span>
<span># alertServer=${alertServer:-"ds3"}</span>
<span>alertServer</span>=<span>"ds-dolphinscheduler-alert-1"</span>
<span># A comma separated list of machine hostname or IP would be installed API server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostname: apiServers="ds1", Example for IP: apiServers="192.168.8.1"</span>
<span># apiServers=${apiServers:-"ds1"}</span>
<span>apiServers</span>=<span>"ds-dolphinscheduler-api-1"</span>
<span># The directory to install DolphinScheduler for all machine we config above. It will automatically be created by `install.sh` script if not exists.</span>
<span># Do not set this configuration same as the current path (pwd). Do not add quotes to it if you using related path.</span>
<span>installPath</span>=<span>${installPath:-"/tmp/dolphinscheduler"}</span>
<span># The user to deploy DolphinScheduler for all machine we config above. For now user must create by yourself before running `install.sh`</span>
<span># script. The user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled than the root directory needs</span>
<span># to be created by this user</span>
<span>deployUser</span>=<span>${deployUser:-"dolphinscheduler"}</span>
<span># The root of zookeeper, for now DolphinScheduler default registry server is zookeeper.</span>
<span>zkRoot</span>=<span>${zkRoot:-"/dolphinscheduler"}</span>
<span>#</span>
<span># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span># contributor license agreements.  See the NOTICE file distributed with</span>
<span># this work for additional information regarding copyright ownership.</span>
<span># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span># (the "License"); you may not use this file except in compliance with</span>
<span># the License.  You may obtain a copy of the License at</span>
<span>#</span>
<span>#     http://www.apache.org/licenses/LICENSE-2.0</span>
<span>#</span>
<span># Unless required by applicable law or agreed to in writing, software</span>
<span># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span># See the License for the specific language governing permissions and</span>
<span># limitations under the License.</span>
<span>#</span>

<span># ---------------------------------------------------------</span>
<span># INSTALL MACHINE</span>
<span># ---------------------------------------------------------</span>
<span># A comma separated list of machine hostname or IP would be installed DolphinScheduler,</span>
<span># including master, worker, api, alert. If you want to deploy in pseudo-distributed</span>
<span># mode, just write a pseudo-distributed hostname</span>
<span># Example for hostnames: ips="ds1,ds2,ds3,ds4,ds5", Example for IPs: ips="192.168.8.1,192.168.8.2,192.168.8.3,192.168.8.4,192.168.8.5"</span>
<span># ips=${ips:-"ds1,ds2,ds3,ds4,ds5"}</span>
<span>ips</span>=<span>"ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2,ds-dolphinscheduler-worker-1,ds-dolphinscheduler-worker-2,ds-dolphinscheduler-worker-3,ds-dolphinscheduler-api-1,ds-dolphinscheduler-alert-1"</span>

<span># Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine</span>
<span># modify it if you use different ssh port</span>
<span>sshPort</span>=<span>${sshPort:-"22"}</span>

<span># A comma separated list of machine hostname or IP would be installed Master server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostnames: masters="ds1,ds2", Example for IPs: masters="192.168.8.1,192.168.8.2"</span>
<span># masters=${masters:-"ds1,ds2"}</span>
<span>masters</span>=<span>"ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2"</span>

<span># A comma separated list of machine <hostname>:<workerGroup> or <IP>:<workerGroup>.All hostname or IP must be a</span>
<span># subset of configuration `ips`, And workerGroup have default value as `default`, but we recommend you declare behind the hosts</span>
<span># Example for hostnames: workers="ds1:default,ds2:default,ds3:default", Example for IPs: workers="192.168.8.1:default,192.168.8.2:default,192.168.8.3:default"</span>
<span># workers=${workers:-"ds1:default,ds2:default,ds3:default,ds4:default,ds5:default"}</span>
<span>workers</span>=<span>"ds-dolphinscheduler-worker-1:default,ds-dolphinscheduler-worker-2:default,ds-dolphinscheduler-worker-3:default"</span>

<span># A comma separated list of machine hostname or IP would be installed Alert server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostname: alertServer="ds3", Example for IP: alertServer="192.168.8.3"</span>
<span># alertServer=${alertServer:-"ds3"}</span>
<span>alertServer</span>=<span>"ds-dolphinscheduler-alert-1"</span>

<span># A comma separated list of machine hostname or IP would be installed API server, it</span>
<span># must be a subset of configuration `ips`.</span>
<span># Example for hostname: apiServers="ds1", Example for IP: apiServers="192.168.8.1"</span>
<span># apiServers=${apiServers:-"ds1"}</span>
<span>apiServers</span>=<span>"ds-dolphinscheduler-api-1"</span>

<span># The directory to install DolphinScheduler for all machine we config above. It will automatically be created by `install.sh` script if not exists.</span>
<span># Do not set this configuration same as the current path (pwd). Do not add quotes to it if you using related path.</span>
<span>installPath</span>=<span>${installPath:-"/tmp/dolphinscheduler"}</span>

<span># The user to deploy DolphinScheduler for all machine we config above. For now user must create by yourself before running `install.sh`</span>
<span># script. The user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled than the root directory needs</span>
<span># to be created by this user</span>
<span>deployUser</span>=<span>${deployUser:-"dolphinscheduler"}</span>

<span># The root of zookeeper, for now DolphinScheduler default registry server is zookeeper.</span>
<span>zkRoot</span>=<span>${zkRoot:-"/dolphinscheduler"}</span>
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# ---------------------------------------------------------
# INSTALL MACHINE
# ---------------------------------------------------------
# A comma separated list of machine hostname or IP would be installed DolphinScheduler,
# including master, worker, api, alert. If you want to deploy in pseudo-distributed
# mode, just write a pseudo-distributed hostname
# Example for hostnames: ips="ds1,ds2,ds3,ds4,ds5", Example for IPs: ips="192.168.8.1,192.168.8.2,192.168.8.3,192.168.8.4,192.168.8.5"
# ips=${ips:-"ds1,ds2,ds3,ds4,ds5"}
ips="ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2,ds-dolphinscheduler-worker-1,ds-dolphinscheduler-worker-2,ds-dolphinscheduler-worker-3,ds-dolphinscheduler-api-1,ds-dolphinscheduler-alert-1"

# Port of SSH protocol, default value is 22. For now we only support same port in all `ips` machine
# modify it if you use different ssh port
sshPort=${sshPort:-"22"}

# A comma separated list of machine hostname or IP would be installed Master server, it
# must be a subset of configuration `ips`.
# Example for hostnames: masters="ds1,ds2", Example for IPs: masters="192.168.8.1,192.168.8.2"
# masters=${masters:-"ds1,ds2"}
masters="ds-dolphinscheduler-master-1,ds-dolphinscheduler-master-2"

# A comma separated list of machine <hostname>:<workerGroup> or <IP>:<workerGroup>.All hostname or IP must be a
# subset of configuration `ips`, And workerGroup have default value as `default`, but we recommend you declare behind the hosts
# Example for hostnames: workers="ds1:default,ds2:default,ds3:default", Example for IPs: workers="192.168.8.1:default,192.168.8.2:default,192.168.8.3:default"
# workers=${workers:-"ds1:default,ds2:default,ds3:default,ds4:default,ds5:default"}
workers="ds-dolphinscheduler-worker-1:default,ds-dolphinscheduler-worker-2:default,ds-dolphinscheduler-worker-3:default"

# A comma separated list of machine hostname or IP would be installed Alert server, it
# must be a subset of configuration `ips`.
# Example for hostname: alertServer="ds3", Example for IP: alertServer="192.168.8.3"
# alertServer=${alertServer:-"ds3"}
alertServer="ds-dolphinscheduler-alert-1"

# A comma separated list of machine hostname or IP would be installed API server, it
# must be a subset of configuration `ips`.
# Example for hostname: apiServers="ds1", Example for IP: apiServers="192.168.8.1"
# apiServers=${apiServers:-"ds1"}
apiServers="ds-dolphinscheduler-api-1"

# The directory to install DolphinScheduler for all machine we config above. It will automatically be created by `install.sh` script if not exists.
# Do not set this configuration same as the current path (pwd). Do not add quotes to it if you using related path.
installPath=${installPath:-"/tmp/dolphinscheduler"}

# The user to deploy DolphinScheduler for all machine we config above. For now user must create by yourself before running `install.sh`
# script. The user needs to have sudo privileges and permissions to operate hdfs. If hdfs is enabled than the root directory needs
# to be created by this user
deployUser=${deployUser:-"dolphinscheduler"}

# The root of zookeeper, for now DolphinScheduler default registry server is zookeeper.
zkRoot=${zkRoot:-"/dolphinscheduler"}
  • dolphinscheduler/bin/env/dolphinscheduler_env.sh
<span>#</span>
<span># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span># contributor license agreements.  See the NOTICE file distributed with</span>
<span># this work for additional information regarding copyright ownership.</span>
<span># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span># (the "License"); you may not use this file except in compliance with</span>
<span># the License.  You may obtain a copy of the License at</span>
<span>#</span>
<span>#     http://www.apache.org/licenses/LICENSE-2.0</span>
<span>#</span>
<span># Unless required by applicable law or agreed to in writing, software</span>
<span># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span># See the License for the specific language governing permissions and</span>
<span># limitations under the License.</span>
<span>#</span>
<span># JAVA_HOME, will use it to start DolphinScheduler server</span>
<span># export JAVA_HOME=${JAVA_HOME:-/opt/java/openjdk}</span>
<span>export</span> JAVA_HOME=/opt/apache/jdk1.8.0_212
<span># Database related configuration, set database type, username and password</span>
<span># export DATABASE=${DATABASE:-postgresql}</span>
<span>export</span> DATABASE=<span>${DATABASE:-mysql}</span>
<span>export</span> SPRING_PROFILES_ACTIVE=<span>${DATABASE}</span>
<span>export</span> SPRING_DATASOURCE_URL=<span>"jdbc:mysql://mysql-test:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8&useSSL=false"</span>
<span>export</span> SPRING_DATASOURCE_USERNAME=dolphinscheduler
<span>export</span> SPRING_DATASOURCE_PASSWORD=dolphinscheduler@123
<span># DolphinScheduler server related configuration</span>
<span>export</span> SPRING_CACHE_TYPE=<span>${SPRING_CACHE_TYPE:-none}</span>
<span>export</span> SPRING_JACKSON_TIME_ZONE=<span>${SPRING_JACKSON_TIME_ZONE:-UTC}</span>
<span>export</span> MASTER_FETCH_COMMAND_NUM=<span>${MASTER_FETCH_COMMAND_NUM:-10}</span>
<span># Registry center configuration, determines the type and link of the registry center</span>
<span>export</span> REGISTRY_TYPE=<span>${REGISTRY_TYPE:-zookeeper}</span>
<span># export REGISTRY_ZOOKEEPER_CONNECT_STRING=${REGISTRY_ZOOKEEPER_CONNECT_STRING:-localhost:2181}</span>
<span>export</span> REGISTRY_ZOOKEEPER_CONNECT_STRING=<span>"zookeeper-node1:2181,zookeeper-node2:2181,zookeeper-node3:2181"</span>
<span># Tasks related configurations, need to change the configuration if you use the related tasks.</span>
<span># export HADOOP_HOME=${HADOOP_HOME:-/opt/soft/hadoop}</span>
<span>export</span> HADOOP_CONF_DIR=<span>${HADOOP_CONF_DIR:-/opt/soft/hadoop/etc/hadoop}</span>
<span>export</span> SPARK_HOME1=<span>${SPARK_HOME1:-/opt/soft/spark1}</span>
<span>export</span> SPARK_HOME2=<span>${SPARK_HOME2:-/opt/soft/spark2}</span>
<span>export</span> PYTHON_HOME=<span>${PYTHON_HOME:-/opt/soft/python}</span>
<span>export</span> HIVE_HOME=<span>${HIVE_HOME:-/opt/soft/hive}</span>
<span>export</span> FLINK_HOME=<span>${FLINK_HOME:-/opt/soft/flink}</span>
<span>export</span> DATAX_HOME=<span>${DATAX_HOME:-/opt/soft/datax}</span>
<span>export</span> SEATUNNEL_HOME=<span>${SEATUNNEL_HOME:-/opt/soft/seatunnel}</span>
<span>export</span> CHUNJUN_HOME=<span>${CHUNJUN_HOME:-/opt/soft/chunjun}</span>
<span>export</span> PATH=<span>$HADOOP_HOME</span>/bin:<span>$SPARK_HOME1</span>/bin:<span>$SPARK_HOME2</span>/bin:<span>$PYTHON_HOME</span>/bin:<span>$JAVA_HOME</span>/bin:<span>$HIVE_HOME</span>/bin:<span>$FLINK_HOME</span>/bin:<span>$DATAX_HOME</span>/bin:<span>$SEATUNNEL_HOME</span>/bin:<span>$CHUNJUN_HOME</span>/bin:<span>$PATH</span>
<span>#</span>
<span># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span># contributor license agreements.  See the NOTICE file distributed with</span>
<span># this work for additional information regarding copyright ownership.</span>
<span># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span># (the "License"); you may not use this file except in compliance with</span>
<span># the License.  You may obtain a copy of the License at</span>
<span>#</span>
<span>#     http://www.apache.org/licenses/LICENSE-2.0</span>
<span>#</span>
<span># Unless required by applicable law or agreed to in writing, software</span>
<span># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span># See the License for the specific language governing permissions and</span>
<span># limitations under the License.</span>
<span>#</span>

<span># JAVA_HOME, will use it to start DolphinScheduler server</span>
<span># export JAVA_HOME=${JAVA_HOME:-/opt/java/openjdk}</span>
<span>export</span> JAVA_HOME=/opt/apache/jdk1.8.0_212

<span># Database related configuration, set database type, username and password</span>
<span># export DATABASE=${DATABASE:-postgresql}</span>
<span>export</span> DATABASE=<span>${DATABASE:-mysql}</span>
<span>export</span> SPRING_PROFILES_ACTIVE=<span>${DATABASE}</span>
<span>export</span> SPRING_DATASOURCE_URL=<span>"jdbc:mysql://mysql-test:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8&useSSL=false"</span>
<span>export</span> SPRING_DATASOURCE_USERNAME=dolphinscheduler
<span>export</span> SPRING_DATASOURCE_PASSWORD=dolphinscheduler@123

<span># DolphinScheduler server related configuration</span>
<span>export</span> SPRING_CACHE_TYPE=<span>${SPRING_CACHE_TYPE:-none}</span>
<span>export</span> SPRING_JACKSON_TIME_ZONE=<span>${SPRING_JACKSON_TIME_ZONE:-UTC}</span>
<span>export</span> MASTER_FETCH_COMMAND_NUM=<span>${MASTER_FETCH_COMMAND_NUM:-10}</span>

<span># Registry center configuration, determines the type and link of the registry center</span>
<span>export</span> REGISTRY_TYPE=<span>${REGISTRY_TYPE:-zookeeper}</span>
<span># export REGISTRY_ZOOKEEPER_CONNECT_STRING=${REGISTRY_ZOOKEEPER_CONNECT_STRING:-localhost:2181}</span>
<span>export</span> REGISTRY_ZOOKEEPER_CONNECT_STRING=<span>"zookeeper-node1:2181,zookeeper-node2:2181,zookeeper-node3:2181"</span>

<span># Tasks related configurations, need to change the configuration if you use the related tasks.</span>
<span># export HADOOP_HOME=${HADOOP_HOME:-/opt/soft/hadoop}</span>
<span>export</span> HADOOP_CONF_DIR=<span>${HADOOP_CONF_DIR:-/opt/soft/hadoop/etc/hadoop}</span>
<span>export</span> SPARK_HOME1=<span>${SPARK_HOME1:-/opt/soft/spark1}</span>
<span>export</span> SPARK_HOME2=<span>${SPARK_HOME2:-/opt/soft/spark2}</span>
<span>export</span> PYTHON_HOME=<span>${PYTHON_HOME:-/opt/soft/python}</span>
<span>export</span> HIVE_HOME=<span>${HIVE_HOME:-/opt/soft/hive}</span>
<span>export</span> FLINK_HOME=<span>${FLINK_HOME:-/opt/soft/flink}</span>
<span>export</span> DATAX_HOME=<span>${DATAX_HOME:-/opt/soft/datax}</span>
<span>export</span> SEATUNNEL_HOME=<span>${SEATUNNEL_HOME:-/opt/soft/seatunnel}</span>
<span>export</span> CHUNJUN_HOME=<span>${CHUNJUN_HOME:-/opt/soft/chunjun}</span>

<span>export</span> PATH=<span>$HADOOP_HOME</span>/bin:<span>$SPARK_HOME1</span>/bin:<span>$SPARK_HOME2</span>/bin:<span>$PYTHON_HOME</span>/bin:<span>$JAVA_HOME</span>/bin:<span>$HIVE_HOME</span>/bin:<span>$FLINK_HOME</span>/bin:<span>$DATAX_HOME</span>/bin:<span>$SEATUNNEL_HOME</span>/bin:<span>$CHUNJUN_HOME</span>/bin:<span>$PATH</span>
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

# JAVA_HOME, will use it to start DolphinScheduler server
# export JAVA_HOME=${JAVA_HOME:-/opt/java/openjdk}
export JAVA_HOME=/opt/apache/jdk1.8.0_212

# Database related configuration, set database type, username and password
# export DATABASE=${DATABASE:-postgresql}
export DATABASE=${DATABASE:-mysql}
export SPRING_PROFILES_ACTIVE=${DATABASE}
export SPRING_DATASOURCE_URL="jdbc:mysql://mysql-test:3306/dolphinscheduler?useUnicode=true&characterEncoding=UTF-8&useSSL=false"
export SPRING_DATASOURCE_USERNAME=dolphinscheduler
export SPRING_DATASOURCE_PASSWORD=dolphinscheduler@123

# DolphinScheduler server related configuration
export SPRING_CACHE_TYPE=${SPRING_CACHE_TYPE:-none}
export SPRING_JACKSON_TIME_ZONE=${SPRING_JACKSON_TIME_ZONE:-UTC}
export MASTER_FETCH_COMMAND_NUM=${MASTER_FETCH_COMMAND_NUM:-10}

# Registry center configuration, determines the type and link of the registry center
export REGISTRY_TYPE=${REGISTRY_TYPE:-zookeeper}
# export REGISTRY_ZOOKEEPER_CONNECT_STRING=${REGISTRY_ZOOKEEPER_CONNECT_STRING:-localhost:2181}
export REGISTRY_ZOOKEEPER_CONNECT_STRING="zookeeper-node1:2181,zookeeper-node2:2181,zookeeper-node3:2181"

# Tasks related configurations, need to change the configuration if you use the related tasks.
# export HADOOP_HOME=${HADOOP_HOME:-/opt/soft/hadoop}
export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-/opt/soft/hadoop/etc/hadoop}
export SPARK_HOME1=${SPARK_HOME1:-/opt/soft/spark1}
export SPARK_HOME2=${SPARK_HOME2:-/opt/soft/spark2}
export PYTHON_HOME=${PYTHON_HOME:-/opt/soft/python}
export HIVE_HOME=${HIVE_HOME:-/opt/soft/hive}
export FLINK_HOME=${FLINK_HOME:-/opt/soft/flink}
export DATAX_HOME=${DATAX_HOME:-/opt/soft/datax}
export SEATUNNEL_HOME=${SEATUNNEL_HOME:-/opt/soft/seatunnel}
export CHUNJUN_HOME=${CHUNJUN_HOME:-/opt/soft/chunjun}

export PATH=$HADOOP_HOME/bin:$SPARK_HOME1/bin:$SPARK_HOME2/bin:$PYTHON_HOME/bin:$JAVA_HOME/bin:$HIVE_HOME/bin:$FLINK_HOME/bin:$DATAX_HOME/bin:$SEATUNNEL_HOME/bin:$CHUNJUN_HOME/bin:$PATH

【温馨提示】注意: DolphinScheduler 本身不依赖 Hadoop、Hive、Spark，但如果你运行的任务需要依赖他们，就需要有对应的环境支持。这里暂不添加这些依赖，如有需求的小伙伴，可以关注我公众号：大数据与云原生技术分享 联系到我。

  • dolphinscheduler/master-server/bin/start.sh
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>
<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>
JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn1g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}
if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi
<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.server.master.MasterServer
</span>
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>

<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>

JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn1g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}

if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi

<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.server.master.MasterServer
</span>
BIN_DIR=$(dirname $0)
DOLPHINSCHEDULER_HOME=${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}

source "$DOLPHINSCHEDULER_HOME/conf/dolphinscheduler_env.sh"

JAVA_OPTS=${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE} -Xms1g -Xmx1g -Xmn1g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"}

if [[ "$DOCKER" == "true" ]]; then
  JAVA_OPTS="${JAVA_OPTS} -XX:-UseContainerSupport"
fi

$JAVA_HOME/bin/java $JAVA_OPTS 
  -cp "$DOLPHINSCHEDULER_HOME/conf":"$DOLPHINSCHEDULER_HOME/libs/*" 
  org.apache.dolphinscheduler.server.master.MasterServer
  • dolphinscheduler/api-server/bin/start.sh
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>
<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>
JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}
if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi
<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.api.ApiApplicationServer
</span>
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>

<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>

JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}

if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi

<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.api.ApiApplicationServer

</span>
BIN_DIR=$(dirname $0)
DOLPHINSCHEDULER_HOME=${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}

source "$DOLPHINSCHEDULER_HOME/conf/dolphinscheduler_env.sh"

JAVA_OPTS=${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE} -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"}

if [[ "$DOCKER" == "true" ]]; then
  JAVA_OPTS="${JAVA_OPTS} -XX:-UseContainerSupport"
fi

$JAVA_HOME/bin/java $JAVA_OPTS 
  -cp "$DOLPHINSCHEDULER_HOME/conf":"$DOLPHINSCHEDULER_HOME/libs/*" 
  org.apache.dolphinscheduler.api.ApiApplicationServer
  • dolphinscheduler/alert-server/bin/start.sh
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>
<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>
JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}
if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi
<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.api.ApiApplicationServer
[root@local-168-182-110 docker-compose-mysql]# cat ../dolphinscheduler/apache-dolphinscheduler-3.1.7-bin/alert-server/bin/start.sh|grep -v '#'
BIN_DIR=<span>$(dirname $0)</span>
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>
source "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh<span>"
JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"</span>}
<span>if</span> [[ <span>"<span>$DOCKER</span>"</span> == <span>"true"</span> ]]; <span>then</span>
  JAVA_OPTS=<span>"<span>${JAVA_OPTS}</span> -XX:-UseContainerSupport"</span>
<span>fi</span>
<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf"</span>:<span>"<span>$DOLPHINSCHEDULER_HOME</span>/libs/*"</span> 
  org.apache.dolphinscheduler.alert.AlertServer
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>

<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>

JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}

if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi

<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.api.ApiApplicationServer
[root@local-168-182-110 docker-compose-mysql]# cat ../dolphinscheduler/apache-dolphinscheduler-3.1.7-bin/alert-server/bin/start.sh|grep -v '#'

BIN_DIR=<span>$(dirname $0)</span>
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>

source "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh<span>"

JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"</span>}

<span>if</span> [[ <span>"<span>$DOCKER</span>"</span> == <span>"true"</span> ]]; <span>then</span>
  JAVA_OPTS=<span>"<span>${JAVA_OPTS}</span> -XX:-UseContainerSupport"</span>
<span>fi</span>

<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf"</span>:<span>"<span>$DOLPHINSCHEDULER_HOME</span>/libs/*"</span> 
  org.apache.dolphinscheduler.alert.AlertServer
BIN_DIR=$(dirname $0)
DOLPHINSCHEDULER_HOME=${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}

source "$DOLPHINSCHEDULER_HOME/conf/dolphinscheduler_env.sh"

JAVA_OPTS=${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE} -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"}

if [[ "$DOCKER" == "true" ]]; then
  JAVA_OPTS="${JAVA_OPTS} -XX:-UseContainerSupport"
fi

$JAVA_HOME/bin/java $JAVA_OPTS 
  -cp "$DOLPHINSCHEDULER_HOME/conf":"$DOLPHINSCHEDULER_HOME/libs/*" 
  org.apache.dolphinscheduler.api.ApiApplicationServer
[root@local-168-182-110 docker-compose-mysql]# cat ../dolphinscheduler/apache-dolphinscheduler-3.1.7-bin/alert-server/bin/start.sh|grep -v '#'

BIN_DIR=$(dirname $0)
DOLPHINSCHEDULER_HOME=${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}

source "$DOLPHINSCHEDULER_HOME/conf/dolphinscheduler_env.sh"

JAVA_OPTS=${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE} -Xms1g -Xmx1g -Xmn512m -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"}

if [[ "$DOCKER" == "true" ]]; then
  JAVA_OPTS="${JAVA_OPTS} -XX:-UseContainerSupport"
fi

$JAVA_HOME/bin/java $JAVA_OPTS 
  -cp "$DOLPHINSCHEDULER_HOME/conf":"$DOLPHINSCHEDULER_HOME/libs/*" 
  org.apache.dolphinscheduler.alert.AlertServer
  • dolphinscheduler/worker-server/bin/start.sh
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>
<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>
<span>export</span> DOLPHINSCHEDULER_WORK_HOME=<span>${DOLPHINSCHEDULER_HOME}</span>
JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn2g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}
if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi
<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.server.worker.WorkerServer
</span>
BIN_DIR=$(dirname <span>$0</span>)
DOLPHINSCHEDULER_HOME=<span>${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}</span>

<span>source</span> <span>"<span>$DOLPHINSCHEDULER_HOME</span>/conf/dolphinscheduler_env.sh"</span>

<span>export</span> DOLPHINSCHEDULER_WORK_HOME=<span>${DOLPHINSCHEDULER_HOME}</span>

JAVA_OPTS=<span>${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE}</span> -Xms1g -Xmx1g -Xmn2g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof<span>"}

if [[ "</span><span>$DOCKER</span><span>" == "</span><span>true</span><span>" ]]; then
  JAVA_OPTS="</span><span>${JAVA_OPTS}</span> -XX:-UseContainerSupport<span>"
fi

<span>$JAVA_HOME</span>/bin/java <span>$JAVA_OPTS</span> 
  -cp "</span><span>$DOLPHINSCHEDULER_HOME</span>/conf<span>":"</span><span>$DOLPHINSCHEDULER_HOME</span>/libs/*<span>" 
  org.apache.dolphinscheduler.server.worker.WorkerServer
</span>
BIN_DIR=$(dirname $0)
DOLPHINSCHEDULER_HOME=${DOLPHINSCHEDULER_HOME:-$(cd $BIN_DIR/..; pwd)}

source "$DOLPHINSCHEDULER_HOME/conf/dolphinscheduler_env.sh"

export DOLPHINSCHEDULER_WORK_HOME=${DOLPHINSCHEDULER_HOME}

JAVA_OPTS=${JAVA_OPTS:-"-server -Duser.timezone=${SPRING_JACKSON_TIME_ZONE} -Xms1g -Xmx1g -Xmn2g -XX:+PrintGCDetails -Xloggc:gc.log -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=dump.hprof"}

if [[ "$DOCKER" == "true" ]]; then
  JAVA_OPTS="${JAVA_OPTS} -XX:-UseContainerSupport"
fi

$JAVA_HOME/bin/java $JAVA_OPTS 
  -cp "$DOLPHINSCHEDULER_HOME/conf":"$DOLPHINSCHEDULER_HOME/libs/*" 
  org.apache.dolphinscheduler.server.worker.WorkerServer

2）安装 MySQL 驱动

<span>wget</span> https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar
<span>wget</span> https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar
wget https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.16/mysql-connector-java-8.0.16.jar

3）启动脚本 bootstrap.sh

<span>#!/usr/bin/env sh
</span>
<span><span>wait_for</span></span>() {
    <span>echo</span> Waiting <span>for</span> <span>$1</span> to listen on <span>$2</span>...
    <span>while</span> ! nc -z <span>$1</span> <span>$2</span>; <span>do</span> <span>echo</span> waiting...; sleep 1s; <span>done</span>
}
<span><span>startDolphinScheduler</span></span>() {
   node_type=<span>$1</span>
   <span>if</span> [ <span>"<span>$node_type</span>"</span> = <span>"master"</span> ];<span>then</span>
    bash <span>${DolphinScheduler_HOME}</span>/bin/dolphinscheduler-daemon.sh start master-server
        <span># 查看日志</span>
    tail -f <span>${DolphinScheduler_HOME}</span>/master-server/logs/dolphinscheduler-master.log
    
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"api"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start api-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/api-server/logs/dolphinscheduler-api.log
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"alert"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start alert-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/alert-server/logs/dolphinscheduler-alert.log
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"worker"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start worker-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/worker-server/logs/dolphinscheduler-worker.log
        
   <span>fi</span>
}
<span># 初始化数据库</span>
bash <span>${DolphinScheduler_HOME}</span>/tools/bin/upgrade-schema.sh
startDolphinScheduler <span>$@</span>
<span>#!/usr/bin/env sh
</span>
<span><span>wait_for</span></span>() {
    <span>echo</span> Waiting <span>for</span> <span>$1</span> to listen on <span>$2</span>...
    <span>while</span> ! nc -z <span>$1</span> <span>$2</span>; <span>do</span> <span>echo</span> waiting...; sleep 1s; <span>done</span>
}

<span><span>startDolphinScheduler</span></span>() {

   node_type=<span>$1</span>

   <span>if</span> [ <span>"<span>$node_type</span>"</span> = <span>"master"</span> ];<span>then</span>
    bash <span>${DolphinScheduler_HOME}</span>/bin/dolphinscheduler-daemon.sh start master-server
        <span># 查看日志</span>
    tail -f <span>${DolphinScheduler_HOME}</span>/master-server/logs/dolphinscheduler-master.log
    
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"api"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start api-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/api-server/logs/dolphinscheduler-api.log
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"alert"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start alert-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/alert-server/logs/dolphinscheduler-alert.log
   <span>elif</span> [ <span>"<span>$node_type</span>"</span> = <span>"worker"</span> ];<span>then</span>
        wait_for <span>$2</span> <span>$3</span>
        bash <span>${DolphinScheduler_HOME}</span>//bin/dolphinscheduler-daemon.sh start worker-server
        <span># 查看日志</span>
        tail -f <span>${DolphinScheduler_HOME}</span>/worker-server/logs/dolphinscheduler-worker.log
        
   <span>fi</span>

}

<span># 初始化数据库</span>
bash <span>${DolphinScheduler_HOME}</span>/tools/bin/upgrade-schema.sh

startDolphinScheduler <span>$@</span>
#!/usr/bin/env sh

wait_for() {
    echo Waiting for $1 to listen on $2...
    while ! nc -z $1 $2; do echo waiting...; sleep 1s; done
}

startDolphinScheduler() {

   node_type=$1

   if [ "$node_type" = "master" ];then
		bash ${DolphinScheduler_HOME}/bin/dolphinscheduler-daemon.sh start master-server
        # 查看日志
		tail -f ${DolphinScheduler_HOME}/master-server/logs/dolphinscheduler-master.log
		
   elif [ "$node_type" = "api" ];then
        wait_for $2 $3
        bash ${DolphinScheduler_HOME}//bin/dolphinscheduler-daemon.sh start api-server
        # 查看日志
        tail -f ${DolphinScheduler_HOME}/api-server/logs/dolphinscheduler-api.log
   elif [ "$node_type" = "alert" ];then
        wait_for $2 $3
        bash ${DolphinScheduler_HOME}//bin/dolphinscheduler-daemon.sh start alert-server
        # 查看日志
        tail -f ${DolphinScheduler_HOME}/alert-server/logs/dolphinscheduler-alert.log
   elif [ "$node_type" = "worker" ];then
        wait_for $2 $3
        bash ${DolphinScheduler_HOME}//bin/dolphinscheduler-daemon.sh start worker-server
        # 查看日志
        tail -f ${DolphinScheduler_HOME}/worker-server/logs/dolphinscheduler-worker.log
        
   fi

}

# 初始化数据库
bash ${DolphinScheduler_HOME}/tools/bin/upgrade-schema.sh

startDolphinScheduler $@

4）构建镜像 Dockerfile

<span>FROM</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/centos-jdk:7.7.1908</span>
<span>ADD</span> <span>apache-dolphinscheduler-3.1.7-bin.tar.gz /opt/apache</span>
<span>
# 添加 DolphinScheduler 包</span>
<span>ENV</span> <span>DolphinScheduler_VERSION 3.1.7</span>
<span>ADD</span> <span>apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin.tar.gz /opt/apache/</span>
<span>ENV</span> <span>DolphinScheduler_HOME /opt/apache/dolphinscheduler</span>
<span>RUN</span> <span>ln -s /opt/apache/apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin $DolphinScheduler_HOME</span>
<span>
# 添加MySQL 驱动</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/tools/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/master-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/worker-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/alert-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/api-server/libs/</span>
<span>
# copy bootstrap.sh</span>
<span>COPY</span> <span>bootstrap.sh /opt/apache/</span>
<span>RUN</span> <span>chmod +x /opt/apache/bootstrap.sh</span>
<span>WORKDIR</span> <span>/opt/apache</span>
<span>FROM</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/centos-jdk:7.7.1908</span>


<span>ADD</span> <span>apache-dolphinscheduler-3.1.7-bin.tar.gz /opt/apache</span>
<span>
# 添加 DolphinScheduler 包</span>
<span>ENV</span> <span>DolphinScheduler_VERSION 3.1.7</span>
<span>ADD</span> <span>apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin.tar.gz /opt/apache/</span>
<span>ENV</span> <span>DolphinScheduler_HOME /opt/apache/dolphinscheduler</span>
<span>RUN</span> <span>ln -s /opt/apache/apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin $DolphinScheduler_HOME</span>
<span>
# 添加MySQL 驱动</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/tools/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/master-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/worker-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/alert-server/libs/</span>
<span>COPY</span> <span>mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/api-server/libs/</span>
<span>
# copy bootstrap.sh</span>
<span>COPY</span> <span>bootstrap.sh /opt/apache/</span>
<span>RUN</span> <span>chmod +x /opt/apache/bootstrap.sh</span>

<span>WORKDIR</span> <span>/opt/apache</span>
FROM registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/centos-jdk:7.7.1908


ADD apache-dolphinscheduler-3.1.7-bin.tar.gz /opt/apache

# 添加 DolphinScheduler 包
ENV DolphinScheduler_VERSION 3.1.7
ADD apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin.tar.gz /opt/apache/
ENV DolphinScheduler_HOME /opt/apache/dolphinscheduler
RUN ln -s /opt/apache/apache-dolphinscheduler-${DolphinScheduler_VERSION}-bin $DolphinScheduler_HOME

# 添加MySQL 驱动
COPY mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/tools/libs/
COPY mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/master-server/libs/
COPY mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/worker-server/libs/
COPY mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/alert-server/libs/
COPY mysql-connector-java-8.0.16.jar ${DolphinScheduler_HOME}/api-server/libs/

# copy bootstrap.sh
COPY bootstrap.sh /opt/apache/
RUN chmod +x /opt/apache/bootstrap.sh

WORKDIR /opt/apache

开始构建镜像

<span>docker</span> build -t registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:<span>3</span>.<span>1</span>.<span>7</span> . --<span>no</span>-cache --progress=plain
<span># 为了方便小伙伴下载即可使用，我这里将镜像文件推送到阿里云的镜像仓库</span>
docker push registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:<span>3</span>.<span>1</span>.<span>7</span>
<span>### 参数解释</span>
<span># -t：指定镜像名称</span>
<span># . ：当前目录Dockerfile</span>
<span># -f：指定Dockerfile路径</span>
<span>#  --no-cache：不缓存</span>
<span>docker</span> build -t registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:<span>3</span>.<span>1</span>.<span>7</span> . --<span>no</span>-cache --progress=plain

<span># 为了方便小伙伴下载即可使用，我这里将镜像文件推送到阿里云的镜像仓库</span>
docker push registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:<span>3</span>.<span>1</span>.<span>7</span>

<span>### 参数解释</span>
<span># -t：指定镜像名称</span>
<span># . ：当前目录Dockerfile</span>
<span># -f：指定Dockerfile路径</span>
<span>#  --no-cache：不缓存</span>
docker build -t registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7 . --no-cache --progress=plain

# 为了方便小伙伴下载即可使用，我这里将镜像文件推送到阿里云的镜像仓库
docker push registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7

### 参数解释
# -t：指定镜像名称
# . ：当前目录Dockerfile
# -f：指定Dockerfile路径
#  --no-cache：不缓存

5）编排 docker-compose.yaml

<span>version:</span> <span>'3'</span>
<span>services:</span>
  <span>dolphinscheduler-master:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_MASTER_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>2</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>master"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_MASTER_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-worker:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_WORKER_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>3</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>worker</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_WORKER_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-api:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>ports:</span>
      <span>-</span> <span>"${DolphinScheduler_API_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>1</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>api</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_API_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-alert:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_ALERT_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>1</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>alert</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_ALERT_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>10s</span>
      <span>timeout:</span> <span>10s</span>
      <span>retries:</span> <span>5</span>
<span># 连接外部网络</span>
<span>networks:</span>
  <span>hadoop-network:</span>
    <span>external:</span> <span>true</span>
<span>version:</span> <span>'3'</span>
<span>services:</span>
  <span>dolphinscheduler-master:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_MASTER_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>2</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>master"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_MASTER_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-worker:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_WORKER_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>3</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>worker</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_WORKER_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-api:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>ports:</span>
      <span>-</span> <span>"${DolphinScheduler_API_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>1</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>api</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_API_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>15s</span>
      <span>timeout:</span> <span>15s</span>
      <span>retries:</span> <span>5</span>
  <span>dolphinscheduler-alert:</span>
    <span>image:</span> <span>registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7</span>
    <span>user:</span> <span>"hadoop:hadoop"</span>
    <span>restart:</span> <span>always</span>
    <span>privileged:</span> <span>true</span>
    <span>env_file:</span>
      <span>-</span> <span>.env</span>
    <span>volumes:</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh</span>
      <span>-</span> <span>./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh</span>
      <span>-</span> <span>./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh</span>
    <span>expose:</span>
      <span>-</span> <span>"${DolphinScheduler_ALERT_PORT}"</span>
    <span>deploy:</span>
      <span>replicas:</span> <span>1</span>
    <span>command:</span> <span>["sh","-c","/opt/apache/bootstrap.sh</span> <span>alert</span> <span>ds-dolphinscheduler-master-1</span> <span>${DolphinScheduler_MASTER_PORT}"]</span>
    <span>networks:</span>
      <span>-</span> <span>hadoop-network</span>
    <span>healthcheck:</span>
      <span>test:</span> <span>["CMD-SHELL",</span> <span>"netstat -tnlp|grep :${DolphinScheduler_ALERT_PORT} || exit 1"</span><span>]</span>
      <span>interval:</span> <span>10s</span>
      <span>timeout:</span> <span>10s</span>
      <span>retries:</span> <span>5</span>

<span># 连接外部网络</span>
<span>networks:</span>
  <span>hadoop-network:</span>
    <span>external:</span> <span>true</span>
version: '3'
services:
  dolphinscheduler-master:
    image: registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7
    user: "hadoop:hadoop"
    restart: always
    privileged: true
    env_file:
      - .env
    volumes:
      - ./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh
      - ./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh
      - ./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh
      - ./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh
      - ./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh
      - ./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh
    expose:
      - "${DolphinScheduler_MASTER_PORT}"
    deploy:
      replicas: 2
    command: ["sh","-c","/opt/apache/bootstrap.sh master"]
    networks:
      - hadoop-network
    healthcheck:
      test: ["CMD-SHELL", "netstat -tnlp|grep :${DolphinScheduler_MASTER_PORT} || exit 1"]
      interval: 15s
      timeout: 15s
      retries: 5
  dolphinscheduler-worker:
    image: registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7
    user: "hadoop:hadoop"
    restart: always
    privileged: true
    env_file:
      - .env
    volumes:
      - ./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh
      - ./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh
      - ./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh
      - ./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh
      - ./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh
      - ./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh
    expose:
      - "${DolphinScheduler_WORKER_PORT}"
    deploy:
      replicas: 3
    command: ["sh","-c","/opt/apache/bootstrap.sh worker ds-dolphinscheduler-master-1 ${DolphinScheduler_MASTER_PORT}"]
    networks:
      - hadoop-network
    healthcheck:
      test: ["CMD-SHELL", "netstat -tnlp|grep :${DolphinScheduler_WORKER_PORT} || exit 1"]
      interval: 15s
      timeout: 15s
      retries: 5
  dolphinscheduler-api:
    image: registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7
    user: "hadoop:hadoop"
    restart: always
    privileged: true
    env_file:
      - .env
    volumes:
      - ./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh
      - ./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh
      - ./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh
      - ./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh
      - ./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh
      - ./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh
    ports:
      - "${DolphinScheduler_API_PORT}"
    deploy:
      replicas: 1
    command: ["sh","-c","/opt/apache/bootstrap.sh api ds-dolphinscheduler-master-1 ${DolphinScheduler_MASTER_PORT}"]
    networks:
      - hadoop-network
    healthcheck:
      test: ["CMD-SHELL", "netstat -tnlp|grep :${DolphinScheduler_API_PORT} || exit 1"]
      interval: 15s
      timeout: 15s
      retries: 5
  dolphinscheduler-alert:
    image: registry.cn-hangzhou.aliyuncs.com/bigdata_cloudnative/dolphinscheduler:3.1.7
    user: "hadoop:hadoop"
    restart: always
    privileged: true
    env_file:
      - .env
    volumes:
      - ./dolphinscheduler/bin/env/install_env.sh:${DolphinScheduler_HOME}/bin/env/install_env.sh
      - ./dolphinscheduler/bin/env/dolphinscheduler_env.sh:${DolphinScheduler_HOME}/bin/env/dolphinscheduler_env.sh
      - ./dolphinscheduler/master-server/bin/start.sh:${DolphinScheduler_HOME}/master-server/bin/start.sh
      - ./dolphinscheduler/worker-server/bin/start.sh:${DolphinScheduler_HOME}/worker-server/bin/start.sh
      - ./dolphinscheduler/alert-server/bin/start.sh:${DolphinScheduler_HOME}/alert-server/bin/start.sh
      - ./dolphinscheduler/api-server/bin/start.sh:${DolphinScheduler_HOME}/api-server/bin/start.sh
    expose:
      - "${DolphinScheduler_ALERT_PORT}"
    deploy:
      replicas: 1
    command: ["sh","-c","/opt/apache/bootstrap.sh alert ds-dolphinscheduler-master-1 ${DolphinScheduler_MASTER_PORT}"]
    networks:
      - hadoop-network
    healthcheck:
      test: ["CMD-SHELL", "netstat -tnlp|grep :${DolphinScheduler_ALERT_PORT} || exit 1"]
      interval: 10s
      timeout: 10s
      retries: 5

# 连接外部网络
networks:
  hadoop-network:
    external: true

.env 文件内容：

<span>DolphinScheduler_HOME</span>=/opt/apache/dolphinscheduler
<span>DolphinScheduler_MASTER_PORT</span>=<span>5678</span>
<span>DolphinScheduler_WORKER_PORT</span>=<span>1234</span>
<span>DolphinScheduler_API_PORT</span>=<span>12345</span>
<span>DolphinScheduler_ALERT_PORT</span>=<span>50052</span>
<span>DolphinScheduler_HOME</span>=/opt/apache/dolphinscheduler
<span>DolphinScheduler_MASTER_PORT</span>=<span>5678</span>
<span>DolphinScheduler_WORKER_PORT</span>=<span>1234</span>
<span>DolphinScheduler_API_PORT</span>=<span>12345</span>
<span>DolphinScheduler_ALERT_PORT</span>=<span>50052</span>
DolphinScheduler_HOME=/opt/apache/dolphinscheduler
DolphinScheduler_MASTER_PORT=5678
DolphinScheduler_WORKER_PORT=1234
DolphinScheduler_API_PORT=12345
DolphinScheduler_ALERT_PORT=50052

6）开始部署

<span># p=sr：项目名，默认项目名是当前目录名称</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds up -d
<span># 查看</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds ps
<span># 卸载</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds down
<span># p=sr：项目名，默认项目名是当前目录名称</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds up -d

<span># 查看</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds ps

<span># 卸载</span>
<span>docker</span>-compose -f docker-compose.yaml -p=ds down
# p=sr：项目名，默认项目名是当前目录名称
docker-compose -f docker-compose.yaml -p=ds up -d

# 查看
docker-compose -f docker-compose.yaml -p=ds ps

# 卸载
docker-compose -f docker-compose.yaml -p=ds down

通过 docker-compose 快速部署 DolphinScheduler 保姆级教程

7）web 访问

<span># http://<your_ip>:12345/dolphinscheduler/ui/login</span>
<span># 这里的端口是api 对外的端口，可以通过命令获取对外端口，docker-compose -f docker-compose.yaml -p=ds down</span>
<span>http:</span>/<span>/192.168.182.110:32770/dolphinscheduler</span><span>/ui/login</span>
<span># http://<your_ip>:12345/dolphinscheduler/ui/login</span>
<span># 这里的端口是api 对外的端口，可以通过命令获取对外端口，docker-compose -f docker-compose.yaml -p=ds down</span>
<span>http:</span>/<span>/192.168.182.110:32770/dolphinscheduler</span><span>/ui/login</span>
# http://<your_ip>:12345/dolphinscheduler/ui/login
# 这里的端口是api 对外的端口，可以通过命令获取对外端口，docker-compose -f docker-compose.yaml -p=ds down
http://192.168.182.110:32770/dolphinscheduler/ui/login

默认账户密码：admin/dolphinscheduler123

通过 docker-compose 快速部署 DolphinScheduler 保姆级教程

六、常用的 DolphinScheduler 客户端命令

<span># 初始化数据库</span>
<span>bash</span> <span>${DolphinScheduler_HOME}/tools/bin/upgrade-schema.sh</span>
<span>
# 启停 Master</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start master-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f master-server/logs/dolphinscheduler-master.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop master-server</span>
<span>
# 启停 Api</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start api-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f api-server/logs/dolphinscheduler-api.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop api-server</span>
<span>
# 启停 Alert</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start alert-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f alert-server/logs/dolphinscheduler-alert.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop alert-server</span>
<span>
# 启停 Worker</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start worker-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f worker-server/logs/dolphinscheduler-worker.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop worker-server</span>
<span># 初始化数据库</span>
<span>bash</span> <span>${DolphinScheduler_HOME}/tools/bin/upgrade-schema.sh</span>
<span>
# 启停 Master</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start master-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f master-server/logs/dolphinscheduler-master.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop master-server</span>
<span>
# 启停 Api</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start api-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f api-server/logs/dolphinscheduler-api.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop api-server</span>
<span>
# 启停 Alert</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start alert-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f alert-server/logs/dolphinscheduler-alert.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop alert-server</span>
<span>
# 启停 Worker</span>
<span>bash</span> <span>./bin/dolphinscheduler-daemon.sh start worker-server</span>
<span># 查看日志</span>
<span>tail</span> <span>-f worker-server/logs/dolphinscheduler-worker.log</span>
<span># bash ./bin/dolphinscheduler-daemon.sh stop worker-server</span>
# 初始化数据库
bash ${DolphinScheduler_HOME}/tools/bin/upgrade-schema.sh

# 启停 Master
bash ./bin/dolphinscheduler-daemon.sh start master-server
# 查看日志
tail -f master-server/logs/dolphinscheduler-master.log
# bash ./bin/dolphinscheduler-daemon.sh stop master-server

# 启停 Api
bash ./bin/dolphinscheduler-daemon.sh start api-server
# 查看日志
tail -f api-server/logs/dolphinscheduler-api.log
# bash ./bin/dolphinscheduler-daemon.sh stop api-server

# 启停 Alert
bash ./bin/dolphinscheduler-daemon.sh start alert-server
# 查看日志
tail -f alert-server/logs/dolphinscheduler-alert.log
# bash ./bin/dolphinscheduler-daemon.sh stop alert-server

# 启停 Worker
bash ./bin/dolphinscheduler-daemon.sh start worker-server
# 查看日志
tail -f worker-server/logs/dolphinscheduler-worker.log
# bash ./bin/dolphinscheduler-daemon.sh stop worker-server

这里没有添加hadoop等组件的依赖包，如有需要用到大数据组件依赖包，则可以在我的镜像基础之上添加依赖包即可，如有任何问题可以关注我公众号：大数据与云原生技术分享 来咨询问题，如本篇文章对您有所协助，麻烦帮忙一键三连（点赞、转发、收藏）~

通过 docker-compose 快速部署 DolphinScheduler 保姆级教程

© 版权声明
文章版权归作者所有，未经允许请勿转载。如内容涉嫌侵权，请在本页底部进入<联系我们>进行举报投诉!
THE END
知识分享
如果内容对您有所帮助,就支持一下吧!
点赞0 分享
布叔的头像 - 宋马
随机推荐
评论 共1条

请登录后发表评论

    只看作者
用户封面
布叔的头像 - 宋马
贯彻法治思想，深度学习《民法典》 ——长医公卫《民法典》宣讲
摸鱼必备{开源老板键}（2022-05-10更新V1.4）
北京互联网法院课题组：数据权益知识产权司法保护的体系协调与规则创新
文章目录
3个方法，教你如何设置 Windows 10/11 自动登录，一键直达桌面 - 宋马
4853人已阅读
3个方法，教你如何设置 Windows 10/11 自动登录，一键直达桌面
TOP1
(番外)+(全文)李福海宋观潮：结局+全文+后续(李福海宋观潮)小说最新列表_官途风云李福海宋观潮：结局+全文+后续(李福海宋观潮)全文阅读无弹窗初官途风云：结局+全文+后续 - 宋马
(番外)+(全文)李福海宋观潮：结局+全文+后续(李福海宋观潮)小说最新列表_官途风云李福海宋观潮：结局+全文+后续(李福海宋观潮)全文阅读无弹窗初官途风云：结局+全文+后续
49天前1537人已阅读
TOP2
富士施乐S1810 2011 2110 2520 2320等机型网络打印设置教程 - 宋马
富士施乐S1810 2011 2110 2520 2320等机型网络打印设置教程
4个月前1272人已阅读
TOP3
登录http://tplogin.cn修改路由器无线WiFi密码，管理员密码上网 - 宋马
登录http://tplogin.cn修改路由器无线WiFi密码，管理员密码上网
2个月前1063人已阅读
TOP4
2024电影《误杀3》在线免费观看完整版免费高清正片肖央主演误杀3【1080P/4k超前点映资源】超清播放陈思诚误杀3百度云/夸克迅雷UC网盘资源分享链接下载 - 宋马
2024电影《误杀3》在线免费观看完整版免费高清正片肖央主演误杀3【1080P/4k超前点映资源】超清播放陈思诚误杀3百度云/夸克迅雷UC网盘资源分享链接下载
2个月前694人已阅读
TOP5
(番外)+(全文)雪落再说爱你：全文+结局+番外(宋南夕周京泽江雪宁)全文小说最新列表_雪落再说爱你：全文+结局+番外(宋南夕周京泽江雪宁)全文阅读无弹窗雪落再说爱你：全文+结局+番外 - 宋马
(番外)+(全文)雪落再说爱你：全文+结局+番外(宋南夕周京泽江雪宁)全文小说最新列表_雪落再说爱你：全文+结局+番外(宋南夕周京泽江雪宁)全文阅读无弹窗雪落再说爱你：全文+结局+番外
49天前477人已阅读
TOP6
TOP1
TOP2
TOP3
TOP4
TOP5
TOP6
龚成思龙门县龙辉龙泉站龙族前传龙口市忠证基因龙口市亲子鉴定齐玉苓案鼻血的教训鼓励非公有制经济黑龙江省长黑龙江省教育厅厅长黑龙江省司法厅黑话律师黑袍纠察队黑暗转向黑暗荣耀黑恶势力黑心律师黑律师